Mingrui Liu
Boston University
H-index: 17
North America-United States
Top articles of Mingrui Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis | arXiv preprint arXiv:2401.09587 | Jie Hao Xiaochuan Gong Mingrui Liu | 2024/1/17 |
Algorithmic Foundation of Federated Learning with Sequential Data | Proceedings of the AAAI Conference on Artificial Intelligence | Mingrui Liu | 2024/3/24 |
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms | arXiv preprint arXiv:2403.00574 | Toki Tahmid Inan Mingrui Liu Amarda Shehu | 2024/3/1 |
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization | Advances in Neural Information Processing Systems | Yajie Bao Amarda Shehu Mingrui Liu | 2024/2/13 |
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds | Advances in Neural Information Processing Systems | Michael Crawshaw Yajie Bao Mingrui Liu | 2024/2/13 |
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm | Advances in Neural Information Processing Systems | Jie Hao Kaiyi Ji Mingrui Liu | 2024/2/13 |
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data | arXiv preprint arXiv:2302.07155 | Michael Crawshaw Yajie Bao Mingrui Liu | 2023/2/14 |
Updating of statistical sets for decentralized distributed training of a machine learning model | 2023/12/5 | ||
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation | Yuqing Zhou Tianshu Feng Mingrui Liu Ziwei Zhu | 2023/10/21 | |
Stability and Generalization for Minibatch SGD and Local SGD | arXiv preprint arXiv:2310.01139 | Yunwen Lei Tao Sun Mingrui Liu | 2023/10/2 |
Auc maximization in imbalanced lifelong learning | Xiangyu Zhu Jie Hao Yunhui Guo Mingrui Liu | 2023/7/2 | |
Fast composite optimization and statistical recovery in federated learning | Yajie Bao Michael Crawshaw Shan Luo Mingrui Liu | 2022/6/28 | |
Understanding adamw through proximal methods and scale-freeness | Transactions on Machine Learning Research | Zhenxun Zhuang Mingrui Liu Ashok Cutkosky Francesco Orabona | 2022/6/3 |
Robustness to unbounded smoothness of generalized signsgd | Advances in neural information processing systems | Michael Crawshaw Mingrui Liu Francesco Orabona Wei Zhang Zhenxun Zhuang | 2022/12/6 |
Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning | Optimization Methods and Software | Hassan Rafique Mingrui Liu Qihang Lin Tianbao Yang | 2022/5/4 |
Will bilevel optimizers benefit from loops | Kaiyi Ji Mingrui Liu Yingbin Liang Lei Ying | 2022 | |
Decentralized parallel min/max optimization | 2022/4/28 | ||
A communication-efficient distributed gradient clipping algorithm for training deep neural networks | Advances in Neural Information Processing Systems | Mingrui Liu Zhenxun Zhuang Yunwen Lei Chunyang Liao | 2022/12/6 |
On the initialization for convex-concave min-max problems | Mingrui Liu Francesco Orabona | 2022/3/20 | |
Imbalanced Lifelong Learning with AUC Maximization | UAI 2023 | Xiangyu Zhu Jie Hao Yunhui Guo Mingrui Liu | 2023 |
Co-Authors
